A collection of work I have done for the past while that I’m proud of.
There is also a backlog of unfinished ideas that I might work on, one day.
writing.
You can find internal monologue under posts index.
open source.
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Quartz - 🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites (2023-)
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A set of tools that helps you publish your digital garden and notes as a website for free.
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Improved performance of graph interaction with Canvas jackyzha0/quartz#1328
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Added support for PDF in popover modal jackyzha0/quartz#913
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Implemented font-fetching before runtime jackyzha0/quartz#817
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Implemented telescope-style search jackyzha0/quartz#722, jackyzha0/quartz#774, jackyzha0/quartz#782
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Added sidenotes components, inspired by Tuffe’s CSS jackyzha0/quartz#1555, examples
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Added LLM-readable source
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Landing page of this website, with custom components, i.e: supper club, curius, parsing jupyter notebook
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Source: https://github.com/jackyzha0/quartz, site
changed private to public!
— aaron (@aarnphm_) 26 novembre 2024
I decided to open source my vault after having a few requests from friends. https://t.co/wo06XU23wE
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avante.nvim - 🎓 A Cursor-like chat IDE for Neovim (2024-)
- Implemented bounding UI popover to improve QOL yetone/avante.nvim#29
- Added support for lazy setup for better load time improvement yetone/avante.nvim#14
- Added Rust crates for
.avanterules
templates https://yetone/avante.nvim/pull/466 - Source: https://github.com/yetone/avante.nvim
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tinymorph - ✍️ An exploration into how we build interfaces for machine-assisted writing tool (2024-)
- WARNING: Currently in research phase.
- Trained sparse autoencoder to interpret Llama 3.2 features (Templeton et al., 2024)
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OpenLLM - ⚙️ Run any open-source LLMs as OpenAI compatible API endpoint in the cloud. (2023-)
- 🔬 Build for fast and production usages
- 🚂 Support Llama, Qwen, Gemma, etc, and quantized versions
- ⛓️ OpenAI-compatible API
- 💬 Built-in ChatGPT like UI
- 🔥 Accelerated LLM decoding with state-of-the-art inference backends
- Source: https://github.com/bentoml/openllm
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BentoML - 🍱 Build Production-grade AI Application (2021-) (Yang et al., n.d.)
- a framework that simplifies machine learning model deployment and provides a faster way to ship your model to production. Supports a variety of use cases, from classical ML to LLMs, diffusions models.
- Built using Python, BuildKit, gRPC
- Source: https://github.com/bentoml/bentoml, Documentation
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incogni.to - 🌗 an event platform that curates for those yearning to be seen for who they are, not what they can "sell" (2024)
- Implemented a RAG pipeline for recommendation system based on users preferences and interests, with command-r-plus-08-2024, deployed with vLLM and BentoML (Yang et al., n.d.)
- Added semantic search to find relevant events based on query with Cohere Rerank
- General UI implementation with shadcn/ui and vercel/next.js
- Demoed at New Build’24
- Source: stream, posts
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onw - A real-time navigation tools for safer commute (2021)
- Implemented route optimization, heat map visualization to identify hot zones, peer notification system.
- Added a heuristic Gaussian Mixture Model to find the safest path between different locations, trained on past assault data provided by Toronto Police Department.
- Awarded: Finalists at Hack the North 2021.
- Built using AWS Fargate, React Native, TypeScript, GraphQL, Apache Spark MLlib, Google Maps API
- Source: https://github.com/tiproad/omw, devpost
talks.
- OpenLLM, and everything about running LLMs in production at Hack The North (2023)
- Source: slides
companies.
Link to original tweet.
Bibliographie
- Templeton, A., Conerly, T., Marcus, J., Lindsey, J., Bricken, T., Chen, B., Pearce, A., Citro, C., Ameisen, E., Jones, A., Cunningham, H., Turner, N. L., McDougall, C., MacDiarmid, M., Freeman, C. D., Sumers, T. R., Rees, E., Batson, J., Jermyn, A., … Henighan, T. (2024). Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet. Transformer Circuits Thread. [link]
- Yang, C., Sean, S., Aaron, P., Shenyang, Z., Sauyon, L., Bo, J., Fog, D., Xipeng, G., & Frost, M. (n.d.). BentoML: The framework for building reliable, scalable and cost-efficient AI application. [GitHub]